SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 5851–5875 of 14297 papers

TitleStatusHype
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval—0
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval—0
AD-GPT: Large Language Models in Alzheimer's Disease—0
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing—0
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification—0
DeepShape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval—0
An Empirical Study of Frame Selection for Text-to-Video Retrieval—0
Deep Sequence Models for Text Classification Tasks—0
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval—0
Benchmarking unsupervised near-duplicate image detection—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
A Chaotic Associative Memory—0
Deep Semi-Supervised Metric Learning With Mixed Label Propagation—0
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval—0
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval—0
Deep Semantic Hashing with Generative Adversarial Networks—0
Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval—0
Deep Self-Adaptive Hashing for Image Retrieval—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
DeepSeek: Content Based Image Search & Retrieval—0
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation—0
Benchmarking Retrieval-Augmented Generation for Chemistry—0
Deep scattering transform applied to note onset detection and instrument recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified